Mastering Vertex AI Agent Builder Essentials
Duration
1 Day (8 hours)
Level
Basic Level
Design and Tailor this course
As per your team needs
This course offers an in-depth exploration of Vertex AI Agent Builder, a powerful tool for developing and deploying advanced AI applications. Participants will gain hands-on experience with Google’s cutting-edge foundation models, focusing on the creation of search engines and chat applications tailored for enterprise environments. By the end of the course, attendees will be equipped with the knowledge to manage these AI tools effectively in production, ensuring they meet the highest standards of performance and security. The course will cover essential aspects of Vertex AI, from data preparation to integration and deployment, enabling participants to build robust and scalable AI solutions.
Outcomes:
Upon completing this course, participants will:
- Be proficient in using Vertex AI Agent Builder for creating enterprise-grade Generative AI applications
- Develop and integrate custom search engines and chat applications using Vertex AI
- Manage production environments efficiently, with a strong understanding of security, data management, and monitoring
- Application developers looking to expand their skills in AI and machine learning
- IT professionals interested in leveraging generative AI for application development
- Individuals aiming to build scalable, AI-driven search engines and chat applications using Google Cloud technologies
- Overview of Vertex AI and Core Capabilities
- Introduction to Vertex AI Agent Builder
- Understanding and Utilizing Foundation Models in Vertex AI
- Demo: Setting Up the Environment: Tools, Frameworks, and Resources
- Hands-On Lab: Initial Setup and Exploration
- Data Collection, Cleaning, and Preparation for AI Applications
- Techniques for Effective Data Labeling and Annotation
- Developing Custom Search Engines with Vertex AI
- Creating Conversational AI: Building Chat Applications with Vertex AI
- Hands-On Lab: Data Preparation and Initial Model Development
- Integrating Machine Learning Models with Business Logic
- Fine-Tuning and Optimizing Foundation Models for Specific Use Cases
- Implementing NLP Techniques in Chat Applications
- Advanced Features of Vertex AI Agent Builder
- Hands-On Lab: Building and Enhancing AI Applications
- Strategies for Seamless Integration with Enterprise Systems
- Deployment Techniques for Scalable AI Solutions
- Ensuring Compliance and Security in AI Deployments
- Hands-On Lab: Deploying and Integrating AI-Apps in Production
- Managing Production Environments: Security, Data Management, and Monitoring
- Best Practices for Scaling AI Applications in Enterprise Settings
- Continuous Monitoring and Performance Optimization
- Final Project: End-to-End Development, Deployment, and Management of an AI Application
Google Cloud Fundamentals: Core Infrastructure (GCF-CI) or equivalent experience with Google Cloud
